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Python API Development Fundamentals

You're reading from   Python API Development Fundamentals Develop a full-stack web application with Python and Flask

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Product type Paperback
Published in Nov 2019
Publisher
ISBN-13 9781838983994
Length 372 pages
Edition 1st Edition
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Authors (3):
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Jack Chan Jack Chan
Author Profile Icon Jack Chan
Jack Chan
Jack Huang Jack Huang
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Jack Huang
Ray Chung Ray Chung
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Ray Chung
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Toc

Table of Contents (12) Chapters Close

Preface 1. Your First Step FREE CHAPTER 2. Starting to Build Our Project 3. Manipulating a Database with SQLAlchemy 4. Authentication Services and Security with JWT 5. Object Serialization with marshmallow 6. Email Confirmation 7. Working with Images 8. Pagination, Searching, and Ordering 9. Building More Features 10. Deployment Appendix

Caching

Caching means storing data in a temporary space (a cache) so that it can be retrieved faster in subsequent requests. The temporary space can be application memory, server hard disk space, or something else. The whole purpose of caching is to lighten the workload by avoiding any heavy processes for querying the data again. For example, in our Smilecook application, if we reckon that the recipes from a popular author will always get queried by the users, we can cache these recipes. So, the next time that users ask for these recipes, we can just send back the recipes in the cache instead of querying against our database. You can see caching everywhere. Almost all applications have caching implemented nowadays. Even in our local browsers, we save website results on the local hard disk to achieve faster access next time.

For server-level caching, most of the time, the cache is stored in the same web server as the application. But technically speaking, it can be stored in another...

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